lead data scientist

Responsibilities

Tasks

• Assess and troubleshoot applications software
• Build predictive models
• Communicate the business and technical benefits of the analytic solution to both business and technical audiences
• Conduct business and technical studies to aid in decisions on system implementation or migration
• Conduct research regarding availability and suitability of data
• Confer with clients to identify requirements
• Coordinate the development, installation, integration and operation of computer-based systems
• Data Science
• Design methods of collecting and processing data to answer specific research questions
• Develop data mapping methods
• Develop queries and logic to generate reports
• Discover trends and patterns within large amounts of information
• Document data access rules
• Document technical requirements to ensure that products, processes and solutions meet business requirements
• Extract information from unstructured sets of data
• Highlight key data sources and the methodology to be used on a specific project
• Prepare plan to maintain software
• Provide advice on the selection of automated anomaly detection systems
• Research data collection and administration policy
• Synthesize technical information through creation of data visualization
• Upgrade and maintain software
• Use ensemble modelling to combine multiple algorithms to obtain better predictive performance
• Design and develop database
• Design, develop and implement information systems business solutions
• Provide advice on information systems strategy, policy, management and service delivery
• Assess physical and technical security risks to data, software and hardware
• Operate database management systems to analyze data
• Develop and implement data administration policy, standards and models
• Develop policies, procedures and contingency plans to minimize the effects of security breaches
• Lead and co-ordinate teams of information systems professionals in the development of software and integrated information systems, process control software and other embedded software control systems
• Develop and implement policies and procedures throughout the software development life cycle
• Research and document data requirements, data collection and administration policy, and data access rules
• Conduct reviews to assess quality assurance practices, software products and information systems
• Develop policies and procedures for network access and usage and for the backup and recovery of data
• Lead and co-ordinate teams of data administrators in the development and implementation of data policies, standards and models
• Write scripts related to stored procedures and triggers
• Resolve conflict situations
• JavaScript Object Notation (JSON)
• Usability testing
• Operate automatic or other testing equipment to ensure product quality
• Conduct tests and perform security and quality controls
• Execute and document results of software application tests and information and telecommunication systems tests

Experience and specialization

Computer and technology knowledge

• Agile
• Automatic data processing (ADP)
• Business intelligence
• Cloud
• Development and operations (DevOps)
• Machine Learning
• Matrix Laboratory (MATLAB)
• OpenGL
• R
• Shell script

Area of specialization

• Scrum
• System integration
• Accessibility testing
• Business process management
• External audit
• Technical support
• User experience design
• Testing